A Spectrally Efficient Joint Power Domain and CSMUD based NOMA for mMTC

Abstract

The exponential growth of machine-type devices demands the need for spectrally efficient communication solutions for 6G and beyond. This thesis explores the design and development of a hybrid non-orthogonal multiple access (NOMA) uplink communication system which combines power domain NOMA (PD-NOMA) and multicarrier compressed sensing multiuser detection (CSMUD) based NOMA to take full advantage of both. The proposed system aims to improve the spectral efficiency and system capacity for ultra-massive machine-type communication (UmMTC), supporting the increasing demand for large-scale connectivity between devices for various IoT applications. The algorithm employs compressed sensing (CS) and successive interference cancellation (SIC) techniques to enable efficient multiuser detection and decoding of information. Simulation results indicate the efficacy of the proposed system, showing considerable improvements in spectral efficiency and capacity. This research contributes to the development of future wireless communication systems by enabling massive connectivity and efficient spectrum utilization, facilitating further advancements in this domain.